126 citations · 244 across the 60 of their papers we have counts for
5 papers · 1 filter
Enhancing Low-Quality Voice Recordings Using Disentangled Channel Factor and Neural Waveform Model
Haoyu Li, Yang Ai, Junichi Yamagishi
High-quality speech corpora are essential foundations for most speech applications. However, such speech data are expensive and limited since they are collected in professional rec…
Denoising-and-Dereverberation Hierarchical Neural Vocoder for Robust Waveform Generation
Yang Ai, Haoyu Li, Xin Wang +2
This paper presents a denoising and dereverberation hierarchical neural vocoder (DNR-HiNet) to convert noisy and reverberant acoustic features into a clean speech waveform. We impl…
Online Speaker Adaptation for WaveNet-based Neural Vocoders
Qiuchen Huang, Yang Ai, Zhenhua Ling
In this paper, we propose an online speaker adaptation method for WaveNet-based neural vocoders in order to improve their performance on speaker-independent waveform generation. In…
Knowledge-and-Data-Driven Amplitude Spectrum Prediction for Hierarchical Neural Vocoders
Yang Ai, Zhen-Hua Ling
In our previous work, we have proposed a neural vocoder called HiNet which recovers speech waveforms by predicting amplitude and phase spectra hierarchically from input acoustic fe…
Reverberation Modeling for Source-Filter-based Neural Vocoder
Yang Ai, Xin Wang, Junichi Yamagishi +1
This paper presents a reverberation module for source-filter-based neural vocoders that improves the performance of reverberant effect modeling. This module uses the output wavefor…